clash-detection-analysis
This skill enables automated detection of physical clashes and clearance breaches within BIM models, helping construction teams catch spatial conflicts before they impact the job site. By analyzing element intersections and proximity violations, it supports early problem identification and design coordination workflows.
clash-detection-analysis enables automated detection of physical clashes and clearance breaches within BIM models, helping construction teams catch spatial conflicts before they impact the job site. By analyzing element intersections and proximity violations, it supports early problem identification and design coordination workflows.
AI-generated summary based on this skill's SKILL.md
Install
datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/clash-detection-analysis · repository language: Python
git clone https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction
cp -r DDC_Skills_for_AI_Agents_in_Construction/5_DDC_Innovative/clash-detection-analysis ~/.claude/skills/clash-detection-analysisFrequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
What does clash-detection-analysis do?
clash-detection-analysis enables automated detection of physical clashes and clearance breaches within BIM models, helping construction teams catch spatial conflicts before they impact the job site. By analyzing element intersections and proximity violations, it supports early problem identification and design coordination workflows.
How does clash-detection-analysis detect geometric clashes in IFC models?
clash-detection-analysis examines element intersections and proximity violations across BIM datasets to identify where building components occupy the same space or breach clearance tolerances. It classifies findings as hard clashes (actual overlaps), soft clashes (clearance violations), and workflow conflicts, then generates spatial coordinates for each detected issue.
What types of clashes can clash-detection-analysis identify?
clash-detection-analysis identifies hard clashes (direct geometric overlaps), soft clashes (insufficient clearance between elements), and workflow conflicts. It specializes in structural-MEP conflicts, piping-HVAC interference, and other building systems interactions, classifying each by severity to prioritize resolution.
Can clash-detection-analysis analyze structural-MEP and piping-HVAC conflicts?
Yes. clash-detection-analysis is designed to detect conflicts between structural elements and mechanical-electrical-plumbing systems, as well as piping and HVAC clearance violations. It helps teams identify these cross-discipline intersections before construction begins, preventing costly rework.
What output does clash-detection-analysis provide?
clash-detection-analysis generates clash reports with severity classification and spatial coordinates for each detected conflict. Reports include element identifiers, clash types, location data, and clearance measurements, enabling teams to prioritize fixes and coordinate design changes efficiently.
Why use clash-detection-analysis early in the BIM process?
clash-detection-analysis catches design conflicts during planning and coordination phases, before construction begins. Early detection prevents expensive field rework, reduces schedule delays, and improves collaboration between structural, MEP, and other building system teams.
SKILL.md
rendered from the published skill — quoted content, verbatim
Clash Detection Analysis
Overview
This skill implements automated clash detection for BIM models. Identify conflicts between building elements before construction to prevent costly rework and delays.
Types of Clashes: - Hard Clash: Physical intersection of elements - Soft Clash: Clearance/tolerance violations - Workflow Clash: Scheduling/sequencing conflicts
> "Обнаружение коллизий на этапе проектирования может сократить затраты на исправление ошибок до 10 раз по сравнению с исправлением на стройплощадке."
Quick Start
```python import ifcopenshell import ifcopenshell.geom import numpy as np from itertools import combinations
Open model
ifc = ifcopenshell.open("model.ifc")
Get structural and MEP
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5_DDC_Innovative/clash-detection-analysis/SKILL.md
5_DDC_Innovative/clash-detection-analysis/claw.json
5_DDC_Innovative/clash-detection-analysis/instructions.md